Introduction to Operations Research with Access Card for Premium Content

For over four decades, Introduction to Operations Research has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include new sections and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text. McGraw-Hill Education's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.

Table of Contents:
1) Introduction 2) Overview of the Operations Research Modeling Approach 3) Introduction to Linear Programming 4) Solving Linear Programming Problems: The Simplex Method 5) The Theory of the Simplex Method 6) Duality Theory 7) Linear Programming under Uncertainty 8) Other Algorithms for Linear Programming 9) The Transportation and Assignment Problems 10) Network Optimization Models 11) Dynamic Programming 12) Integer Programming 13) Nonlinear Programming 14) Metaheuristics 15) Game Theory 16) Decision Analysis 17) Queueing Theory 18) Inventory Theory 19) Markov Decision Processes 20) Simulation Appendix 1 - Documentation for the OR Courseware Appendix 2 - Convexity Appendix 3 - Classical Optimization Methods Appendix 4 - Matrices and Matrix Operations Appendix 5 - Table for a Normal Distribution

About the Author :
Professor emeritus of operations research at Stanford University. Dr. Hillier is especially known for his classic, award-winning text, Introduction to Operations Research, co-authored with the late Gerald J. Lieberman, which has been translated into well over a dozen languages and is currently in its 8th edition. The 6th edition won honorable mention for the 1995 Lanchester Prize (best English-language publication of any kind in the field) and Dr. Hillier also was awarded the 2004 INFORMS Expository Writing Award for the 8th edition. His other books include The Evaluation of Risky Interrelated Investments, Queueing Tables and Graphs, Introduction to Stochastic Models in Operations Research, and Introduction to Mathematical Programming. He received his BS in industrial engineering and doctorate specializing in operations research and management science from Stanford University. The winner of many awards in high school and college for writing, mathematics, debate, and music, he ranked first in his undergraduate engineering class and was awarded three national fellowships (National Science Foundation, Tau Beta Pi, and Danforth) for graduate study. Dr. Hilliers research has extended into a variety of areas, including integer programming, queueing theory and its application, statistical quality control, and production and operations management. He also has won a major prize for research in capital budgeting.